What are the responsibilities and job description for the Video Data Annotator - Remote position at YO IT Consulting?
Job Title: Video Data Reviewer
Job Type: Contractor
Location: Remote
Job Summary
Join our customers team as a Video Data Reviewer, youll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required; your domain knowledge is what matters.
Key Responsibilities
Job Type: Contractor
Location: Remote
Job Summary
Join our customers team as a Video Data Reviewer, youll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required; your domain knowledge is what matters.
Key Responsibilities
- Review and refine model-generated video annotations to ensure accuracy and precision in describing hand movements and object interactions.
- Validate and correct action timing, ensuring boundaries align with the start and end of each labeled activity.
- Assess and edit captions for atomicity, confirming each label describes a single, independent action.
- Verify correct identification of left versus right hand usage in all annotated segments.
- Flag low-quality, ambiguous, or incomplete labels for rework based on project standards.
- Maintain consistent labeling quality by adhering to established annotation rubrics and structured review pipelines.
- Provide actionable feedback to help enhance annotation models, and collaborate with team leads to resolve edge cases.
- Keen visual discrimination skills and high attention to detail, especially when analyzing repetitive video content.
- Ability to maintain focus and deliver reliable quality throughout long video review sessions.
- Comfort with web-based annotation tools and time-coded video platforms.
- Strong written and verbal communication skills, ensuring clear and concise captioning and feedback.
- Demonstrated process adherence and willingness to follow detailed guidelines and incorporate prompt feedback.
- Reliable high-speed internet connection and a computer capable of smooth video playback.
- Ability to work productively and autonomously while meeting daily throughput and quality targets.
- Experience in video annotation, labeling, transcription, or content moderation roles.
- Familiarity with annotation software such as CVAT, Labelbox, Scale, V7, or Encord.
- Background in fields requiring precise observation of human movement (e.g., occupational therapy, kinesiology, sign language interpretation, sports analysis).